AI is already in your network operations.
You just don’t control it.
Engineers are pasting AI output into configs. That’s an untracked operator in production.
Copy-pasting AI into network operations is reckless.
- Configs generated outside your systems
- No validation before deployment
- No record of what changed or why
- No separation between generation and execution
- No rollback confidence
This works—until it doesn’t.
Before
After
AI shouldn’t be an assistant.
It should be an operator with boundaries.
Assistants generate output. You decide what to do.
That works for documents.
It’s reckless for production networks.
Operators follow runbooks, respect checkpoints, and stop when they don’t have authority.
Teamify turns AI into a controlled operator.
Controlled AI inside your network runbooks.
Works with your OSS/BSS systems, config templates, and validation rules.
Runs predefined runbooks
AI operates only within procedures your team defines. Provisioning, config changes, troubleshooting—scoped to exactly what’s authorized.
Enforces guardrails before execution
Every operation is validated against your rules before anything touches production. If validation fails, nothing runs.
Requires approval before production impact
No config hits a live node without human approval. The operator proposes. Your engineer approves.
This is what controlled AI looks like in production.
VLAN provisioning — with failure, block, correction, and approval.
What changes when AI operates inside your runbooks.
Fewer config mistakes
Errors are caught before deployment, not after outages.
Repeatable operations across shifts
Every engineer executes the same validated process. The 2am crew runs the same runbooks as the day shift.
No more guessing if a change will take down a node
Guardrails and checkpoints remove uncertainty before anything hits production.
Built around real network operations:
- Provisioning
- Config generation
- Troubleshooting
Designed for teams managing live production environments.
Sovereign Deployment
For networks that can’t depend on external systems.
Your network can’t go down because a SaaS provider did. The Sovereign edition runs on your infrastructure, air-gapped, with zero external dependencies.
Same controlled operators, same runbook enforcement, same checkpoints and audit trails. Running entirely inside your environment.
Talk to UsRuns Inside Your Network
Your servers, your data center. You own the deployment.
Operates Air-Gapped
No external dependencies. No telemetry. Fully operational offline.
Your Data Never Leaves
Data residency on your terms. Meet any compliance requirement.
Your Models, Your Hardware
Run inference on your own GPUs. No data sent to third parties.
Deployment
Two ways to run controlled AI in your network.
This isn’t a tool you trial. It’s something you deploy into your operations.
Cloud
Controlled AI operations without infrastructure overhead.
- Standard runbook templates for provisioning and config
- Production checkpoints enforced
- Full audit trail on every change
- Your LLM keys, our infrastructure
Sovereign
Controlled AI running entirely inside your network.
- Everything in Cloud, plus:
- Runs on your servers
- Air-gapped operation
- Your models on your hardware
- Dedicated onboarding for your runbooks
Both editions run the same system. Start with Cloud and move to Sovereign whenever you’re ready.
Your engineers are already using AI in production.
Let's make it safe.
Tell us about your network operations. We'll show you what it looks like when AI operates inside your runbooks.